4033 Courses

ART SIPPERS is an online art experience that’ll see you with a paintbrush in one hand and a cheeky sip in the other! In the two-hour workshop and in the comfort of your own home, you will be taught step-by-step instructions from creative-confidence coaches NorteyPitcher! With music, a quiz, dad jokes and a competition prize to be won, this promises to be great fun for all. By the end of the experience, you'll have learned a new skill, gained confidence and produced some wall-worthy art.

ART SIPPERS is an online art experience that’ll see you with a paintbrush in one hand and a cheeky sip in the other! In the two-hour workshop and in the comfort of your own home, you will be taught step-by-step instructions from creative-confidence coaches NorteyPitcher! With music, a quiz, dad jokes and a competition prize to be won, this promises to be great fun for all. By the end of the experience, you'll have learned a new skill, gained confidence and produced some wall-worthy art.

ART SIPPERS is an online art experience that’ll see you with a paintbrush in one hand and a cheeky sip in the other! In the two-hour workshop and in the comfort of your own home, you will be taught step-by-step instructions from creative-confidence coaches NorteyPitcher! With music, a quiz, dad jokes and a competition prize to be won, this promises to be great fun for all. By the end of the experience, you'll have learned a new skill, gained confidence and produced some wall-worthy art.

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Francesca Wyllie (BA Hons Fine Art) has an amazing north-facing art studio at El Retiro in Andalucia, which was purpose-built to accommodate painting groups. Bespoke painting and sculpture workshops can be arranged or Francesca can travel locally to guide you in your own studios or locations.

Forex Trading: Forex Trading Online Training We are pleased to introduce the Diploma in Forex Trading - Unlock Your Potential! Do you anticipate yourself pursuing a fulfilling Diploma in Forex trading that entails directing, assisting, and empowering the trading industry's next level? If yes, stop your search now! Your path to becoming an experienced and certified trader is through our Diploma in Forex Trading. Enrolling in this Diploma in Forex Trading will progress and boost your career. With the guidance of the diploma in forex trading, you will learn the skills and information necessary to be successful in your professional career. Whether you desire to develop practical knowledge or professional career abilities will affect your capacity to stay one step ahead of the competition. A diploma in forex trading will add value to your resume and make you stand out to potential employers. Enrol now in the Diploma in Forex trading and take the next step toward achieving your personal and professional objectives. Main Course: Diploma in Forex trading Free Courses are including with this Forex Trading: Forex Trading Online Training Course Along with The Forex Trading: Forex Trading Online Training Course, We Offer a free Anti Money Laundering (AML) Training Along with The Forex Trading: Forex Trading Online Training Course, We Offer a free GDPR Training Special Offers of this Forex Trading Course This Forex Trading Course includes a FREE PDF Certificate. Lifetime access to this Forex Trading Course Instant access to this Forex Trading Course Get FREE Tutor Support to this Forex Trading Training Course Forex Trading: Forex Trading Online Training Take a profitable trip with forex trading! Invest in your financial future with Forex trading, the best way to create wealth. Discover the countless options and possibilities that exist in forex trading. Unlock the door to financial success by becoming a part of the Forex Trading revolution. Don't pass up the opportunity to benefit from Forex Trading; lock in your future now! Who is this course for? Forex Trading: Forex Trading Online Training All throughout the world, students who complete this Diploma in Forex Trading can create new careers, advance in their fields, and enhance their quality of life. Any interested party will gain knowledge from this Diploma in Forex Trading course. The Diploma in Forex Trading is designed for independent contractors and other professionals who excel at both conceptual and numerical work. For college students and new grads who wish to strengthen their resumes, a diploma in forex trading is highly advised. Requirements Forex Trading: Forex Trading Online Training To enrol in this Forex Trading: Forex Trading Online Training Course, students must fulfil the following requirements. To join in our Forex Trading: Forex Trading Online Training Course, you must have a strong command of the English language. To successfully complete our Forex Trading: Forex Trading Online Training Course, you must be vivacious and self driven. To complete our Forex Trading: Forex Trading Online Training Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Forex Trading: Forex Trading Online Training Course. Career path Forex Trading: Forex Trading Online Training This Diploma in Forex trading is designed for those who want to succeed in both their professional and personal lives. The Forex Trader, Stock Market Investor, and Financial Advisor may find value in this instructional course for the Diploma in Forex Trading.

Practice Nurse: Practice Nurse Training With our Practice Nurse course, you can reveal your highly organised, adaptable, and responsible personality to enter the nursing sector! Did you know that the most employable type of degree in the UK is Practice Nurse? Those with experience and certification can enter the nursing sector simply due to the demand for nurses. Do not wait to enrol in our Practice Nurse course if you are interested in advancing your profession. Nurses operate in a number of settings as part of multidisciplinary health care teams, and nursing practice is a rapidly expanding specialty in the healthcare sector. A practice nurse's duties can involve everything from administration to providing medical care. You'll be led through the healthcare system by this Practice Nurse Course and given the information you need to be successful. You will gain an understanding of the duties and responsibilities of a practising nurse through this Practice Nurse Course. Your ability to gather medical data, administer first aid, and carry out other nursing tasks will be taught to you in the Practice Nurse Course. You will also comprehend the significance of nursing and its function in many societal contexts by this Practice Nurse Course. This Practice Nurse Course also trains you about Safety, Infection Control & Hygiene. After completing this Practice Nurse Course you can make patients documentation and diagnostic testing informatics. The Practice Nurse course can help you polish your resume, impress potential employers, and set yourself apart from the competition. Main Course: Practice Nurse Free Courses are including with this Practice Nurse Course Along with The Practice Nurse Course, We Offer a free Medical Terminology Course Along with The Practice Nurse Course, We Offer a free Nurse Prescribing Course Along with The Practice Nurse Course, We Offer a free Adult Nursing Course Special Offers of this Practice Nurse Course This Practice Nurse Course includes a FREE PDF Certificate. Lifetime access to this Practice Nurse Course Instant access to this Practice Nurse Course Get FREE Tutor Support to this Practice Nurse Course Practice Nurse: Practice Nurse Training This exclusive Practice Nurse: Practice Nurse Course will give you an in-depth understanding of practice nursing. This Practice Nurse course will teach you about the roles and responsibilities of a practicing nurse. The Practice Nurse: Practice Nurse Course will teach you how to gather medical information, administer first aid, and carry out other nursing duties. You will also comprehend the significance and role of nursing in a variety of social contexts. Who is this course for? Practice Nurse: Practice Nurse Training This Practice Nurse Training bundle is suitable for everyone. Requirements Practice Nurse: Practice Nurse Training To enrol in this Practice Nurse: Practice Nurse Course, students must fulfil the following requirements. To join in our Practice Nurse Course, you must have a strong command of the English language. To successfully complete our Practice Nurse Course, you must be vivacious and self driven. To complete our Practice Nurse Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Practice Nurse Course. Career path Practice Nurse: Practice Nurse Training This Practice Nurse Training bundle will allow you to kickstart or take your career in the related sector to the next stage.Such as: - Nursing Assistant, Nursing Administrator, Nursing Home Manager, Nurse Midwife, Practice Nurse.

Waxing and Hair Removal Training Online Would you like to pursue a profession or learn more about the waxing and hair removal industry? So, this section of our Waxing and Hair Removal course teaches you how to become a beauty expert. With Waxing and Hair Removal Your skin may feel smoother, and your hair may eventually get finer. This course on waxing and hair removal is designed to support your comprehension of these Waxing and Hair Removal processes. This waxing and hair removal course covers all the most recent information, including different techniques and waxing and hair removal before and after care. You will be ready for client consultations and dress codes after taking this Waxing and Hair Removal course. This Waxing and Hair Removal training will also teach you about salon safety, cleanliness, and infection control. Don't wait; enrol today and start your successful career in waxing and hair removal! Learning Outcome You will gain a brief knowledge of Waxing and Hair Removal and its Methods The Threading Method and aftercare will be explained in the Waxing and Hair Removal course. This Waxing and Hair Removal training will assist you in client consultation and dress code considerations. This Waxing and Hair Removal training also briefly covers salon safety, cleanliness, and infection prevention. Also, you'll learn about practical methods for waxing and hair removal. Main Course: Waxing and Hair Removal Free Courses are including with this Waxing and Hair Removal Course Along with The Waxing and Hair Removal: Waxing and Hair Removal Course, We Offer a free Brow Lamination Along with The Waxing and Hair Removal: Waxing and Hair Removal Course, We Offer a free Hair & Beard Barbering Special Offers of this Waxing and Hair Removal Course This Waxing and Hair Removal: Hair Course includes a FREE PDF Certificate. Lifetime access to this Waxing and Hair Removal Course Instant access to this Waxing and Hair Removal: Hair Course Get FREE Tutor Support to this Waxing and Hair Removal: Hair Course Waxing and Hair Removal Training Online This course on Waxing: Waxing and Hair Removal will teach you how to achieve flawless skin. You can include this on your CV or resume after finishing this Waxing and Hair Removal course, making it stand out from the competition for jobs. This Waxing and Hair Removal course has been expertly designed by our team to ensure that you learn quickly and effectively, at a pace that suits you. Enroll now to begin learning in our Waxing: Waxing and Hair Removal course. Who is this course for? Waxing and Hair Removal Everyone is welcome to enrol in this Waxing and Hair Removal: Hair programme. Requirements To enrol in this Waxing and Hair Removal Course, students must fulfil the following requirements. To join in our Waxing and Hair Removal: Hair Course, you must have a strong command of the English language. To successfully complete our Waxing and Hair Removal: Hair Course, you must be vivacious and self driven. To complete our Waxing and Hair Removal Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Waxing and Hair Removal: Hair Course. Career path Waxing and Hair Removal You can find employment in this field with the help of this training on Waxing and Hair Removal: Hair.

Overview of Teacher Training Join our Teacher Training course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Teacher Training course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Teacher Training course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Teacher Training Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Teacher Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the Teacher Training course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Teacher Training is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education. Requirements You don’t need any educational qualification or experience to enrol in the Teacher Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Teacher Training Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about electric circuits Understand the core competencies and principles of electric circuits Explore the various areas of electric circuits Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert electrical engineer Overview Master the skills you need to propel your career forward in electric circuits. This course will equip you with the essential knowledge and skillset that will make you a confident electrical engineer and take your career to the next level. This comprehensive early years teaching course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this early years teaching course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective electric circuits practice and equip you with the essential skills, confidence and competence to assist you in the electric circuits industry. You'll gain a solid understanding of the core competencies required to drive a successful career in electric circuits. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for electrical engineer or for people who are aspiring to specialise in electric circuits. Enrol in this early years teaching course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive early years teaching course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this electric circuits can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This early years teaching course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This early years teaching course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This early years teaching course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Basic Concepts What Is an Electric Circuit 00:02:00 System of Units 00:06:00 What Is an Electric Charge 00:05:00 What Is an Electric Current 00:08:00 Example 1 00:01:00 Example 2 00:02:00 Example 3 00:02:00 What Is Voltage 00:07:00 What Is Power 00:06:00 What Is Energy 00:03:00 Example 4 00:02:00 Example 5 00:02:00 Dependent and Independent Sources 00:07:00 Example 6 Part 1 00:03:00 Example 6 Part 2 00:01:00 Application 1 Cathode Ray Tube 00:03:00 Example 7 00:04:00 Application 2 Electricity Bills 00:02:00 Basic Laws Introduction to Basic Laws 00:01:00 Definition of Resistance 00:06:00 Ohm's Law 00:02:00 Types of Resistances 00:05:00 Open and Short Circuit 00:05:00 Definition of Conductance 00:04:00 Example 1 00:01:00 Example 2 00:03:00 Example 3 00:03:00 Branch, Node and Loops 00:07:00 Series and Parallel Connection 00:03:00 KCL 00:03:00 KVL 00:03:00 Example 4 00:04:00 Example 5 00:02:00 Example 6 00:05:00 Series Resistors and Voltage Division 00:07:00 Parallel Resistors and Current Division 00:11:00 Analogy between Resistance and Conductance 00:06:00 Example 7 00:03:00 Example 8 00:04:00 Introduction to Delta-Wye Transformation 00:05:00 Delta to Wye Transformation 00:05:00 Wye to Delta Transformation 00:06:00 Example 9 00:02:00 Example 10 00:15:00 Application Lighting Bulbs 00:03:00 Example 11 00:05:00 Methods of Analysis Introduction to Methods of Analysis 00:01:00 Nodal Analysis with No Voltage Source 00:14:00 Example 1 00:05:00 Cramer's Method 00:04:00 Nodal Analysis with Voltage Source 00:06:00 Example 2 00:05:00 Example 3 00:12:00 Mesh Analysis with No Current Source 00:10:00 Example 4 00:03:00 Example 5 00:06:00 Mesh Analysis with Current Source 00:06:00 Example 6 00:07:00 Nodal Vs Mesh Analysis 00:04:00 Application DC Transistor 00:04:00 Example 7 00:04:00 Circuit Theorems Introduction to Circuit Theorems 00:02:00 Linearity of Circuit 00:07:00 Example 1 00:03:00 Superposition Theorem 00:07:00 Example 2 00:04:00 Example 3 00:06:00 Source Transformation 00:07:00 Example 4 00:05:00 Example 5 00:03:00 Thevenin Theorem 00:09:00 Example 6 00:06:00 Example 7 00:05:00 Norton's Theorem 00:05:00 Example 8 00:03:00 Example 9 00:05:00 Maximum Power Transfer 00:04:00 Example 10 00:03:00 Resistance Measurement 00:05:00 Example 11 00:01:00 Example 12 00:04:00 Summary 00:04:00 Operational Amplifiers Introduction to Operational Amplifiers 00:03:00 Construction of Operational Amplifiers 00:07:00 Equivalent Circuit of non Ideal Op Amp 00:09:00 Vo Vs Vd Relation Curve 00:03:00 Example 1 00:09:00 Ideal Op Amp 00:07:00 Example 2 00:04:00 Inverting Amplifier 00:05:00 Example 3 00:02:00 Example 4 00:02:00 Non Inverting Amplifier 00:08:00 Example 5 00:03:00 Summing Amplifier 00:04:00 Example 6 00:02:00 Difference amplifier 00:05:00 Example 7 00:07:00 Cascaded Op Amp Circuits 00:06:00 Example 8 00:04:00 Application Digital to Analog Converter 00:05:00 Example 9 00:04:00 Instrumentation Amplifiers 00:05:00 Example 10 00:01:00 Summary 00:04:00 Capacitors and Inductors Introduction to Capacitors and Inductors 00:02:00 Capacitor 00:06:00 Capacitance 00:02:00 Voltage-Current Relation in Capacitor 00:03:00 Energy Stored in Capacitor 00:06:00 DC Voltage and Practical Capacitor 00:02:00 Example 1 00:01:00 Example 2 00:01:00 Example 3 00:04:00 Equivalent Capacitance of Parallel Capacitors 00:02:00 Equivalent Capacitance of Series Capacitors 00:03:00 Example 4 00:02:00 Definition of Inductors 00:06:00 Definition of Inductance 00:03:00 Voltage-Current Relation in Inductor 00:03:00 Power and Energy Stored in Inductor 00:02:00 DC Source and Inductor 00:03:00 Example 5 00:02:00 Series Inductors 00:03:00 Parallel Inductors 00:03:00 Small Summary to 3 Basic Elements 00:02:00 Example 6 00:01:00 Example 7 00:04:00 Application Integrator 00:04:00 Example 8 00:03:00 Application Differentiator 00:02:00 Example 9 00:06:00 Summary 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00